Software Engineer

Location: Westminster, CO (Corporate Headquarters)

About Trimble

Trimble is an industrial technology leader transforming the way the world works by delivering solutions that connect the physical and digital worlds. Core technologies in positioning, modeling, connectivity, and data analytics enable customers to improve productivity, quality, safety, transparency, and sustainability. From purpose-built products to enterprise lifecycle solutions, Trimble is transforming industries such as agriculture, construction, geospatial, and transportation.

For more information about Trimble (NASDAQ: TRMB), visit: www.trimble.com.

The Opportunity

The Enterprise Data Operations team is the central nervous system of Trimble's data ecosystem. Our mission is to empower business units across the globe with trusted, high-quality data to drive analytics, business intelligence, and strategic decision-making. We are responsible for the architecture, development, and governance of the enterprise data platform that powers Trimble's growth.

We are seeking a Staff Data Engineer to join our team at our corporate headquarters in Westminster, Colorado. This is a pivotal, senior-level role for a technical thought leader passionate about building robust, scalable, and elegant data solutions. You will not just be building pipelines; you will be setting the technical direction, mentoring engineers, and solving our most complex data challenges. As a technical expert, you will be instrumental in designing and delivering the next generation of our enterprise data products.

What You'll Do (Key Responsibilities)

• Data Architecture & Strategy: Lead the design and evolution of our enterprise data platform, ensuring it is scalable, reliable, and secure. Champion and implement best practices in data architecture, data modeling, and data engineering.

• Enterprise Data Product Delivery: Architect, build, and optimize complex, large-scale ETL/ELT data pipelines from a wide variety of source systems using modern big data technologies on cloud platforms (AWS, Azure, GCP).

• Technical Leadership: Act as a technical thought leader and subject matter expert for data engineering within the organization. Mentor and guide junior and mid-level data engineers, fostering a culture of technical excellence and innovation through code reviews, design sessions, and knowledge sharing.

• Development & Optimization: Develop robust, reusable data processing frameworks and components. Write clean, high-quality, and maintainable code in Python and SQL. Profile and tune data processing jobs to improve performance and reduce cost.

• Cross-Functional Collaboration: Partner closely with data scientists, BI developers, data analysts, and business stakeholders to understand their data needs and translate complex business requirements into scalable technical solutions.

• Operational Excellence: Drive automation in data quality, data governance, and platform operations. Troubleshoot and resolve complex data integrity and performance issues across the enterprise data landscape.

What You'll Bring (Required Qualifications)

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.

• 8+ years of progressive experience in data engineering, software engineering, or a related role, with a demonstrated track record of delivering complex, enterprise-scale data products.

• Expert-level proficiency in SQL and at least one programming language, preferably Python.

• Extensive hands-on experience with a major cloud platform (AWS, Azure, or GCP) and its data services (e.g., S3, Redshift, Glue, Lambda; ADLS, Synapse, Data Factory; BigQuery, Cloud Storage).

• Deep expertise with modern big data processing frameworks like Apache Spark.

• Proven experience designing and building large-scale data warehouses and data lakes from the ground up, with a deep understanding of data modeling techniques (e.g., Kimball, Inmon, Data Vault).

• Demonstrated ability to lead technical projects, influence architecture decisions, and mentor other engineers.

• Excellent problem-solving skills and the ability to navigate ambiguity in a fast-paced environment.

What We'd Love to See (Preferred Qualifications)

• Master's degree in Computer Science or a related field.

• Experience with modern data stack technologies and orchestration tools such as dbt, Airflow, or Prefect.

• Experience with streaming data technologies like Kafka, Kinesis, or Spark Streaming.

• Knowledge of modern data architecture concepts like Data Mesh or Data Fabric.

• Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and CI/CD best practices for data pipelines.

• Familiarity with containerization technologies like Docker and Kubernetes.

• Relevant cloud certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).

Compensation: Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.

Hiring Range

Pay Rate Type

Bonus Eligible?

Commission Eligible?

Benefits: Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.

How to Apply: Please submit an online application for this position by clicking on the 'Apply Now' button located in this posting.

Posting Date

Application Deadline: Applications could be accepted until at least 30 days from the posting date.

At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values-Belong, Innovate, and Grow-we embrace and celebrate differences, knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble's Code of Business Conduct and Ethics at https://investor.trimble.com, under "Corporate Governance."

Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.

Trimble's Privacy Policy

If you need assistance or would like to request an accommodation in connection with the application process, please contact AskPX@px.trimble.com.